BibTeX

@MISC{Pollack03autominder:an, author = {Martha E. Pollack and Laura Brown and Dirk Colbry and Colleen E. McCarthy and Cheryl Orosz and Bart Peintner and Sailesh Ramakrishnan and Ioannis Tsamardinos}, title = {Autominder: An Intelligent Cognitive Orthotic System for People with Memory Impairment}, year = {2003}}

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Abstract

This paper describes Autominder, a cognitive orthotic system intended to help older adults adapt to cognitive decline and continue the satisfactory performance of routine activities, thereby potentially enabling them to remain in their own homes longer. Autominder achieves this goal by providing adaptive, personalized reminders of (basic, instrumental, and extended) activities of daily living. Cognitive orthotic systems on the market today mainly provide alarms for prescribed activities at fixed times that are specified in advance. In contrast, Autominder uses a range of AI techniques to model an individual's daily plans, observe and reason about the execution of those plans, and make decisions about whether and when it is most appropriate to issue reminders. Autominder is currently deployed on a mobile robot, and is being developed as part of the Initiative on Personal Robotic Assistants for the Elderly (the Nursebot project)